Linear Programming Using MATLAB - Practical Algorithms and Code

Our review of Linear Programming Using MATLAB finds it most valuable for researchers, graduate students, and practitioners who need a rigorous, code-oriented treatment of linear programming methods. The book's single biggest strength is the combination of theoretical formulations with comprehensive MATLAB implementations, which makes the material immediately useful for experimenting with and solving large-scale benchmark linear programs. Readers looking for hand-wavy introductions will want something lighter, but those needing implementable algorithms will appreciate the depth provided here.

Key Features

• Theoretical exposition: Each algorithm is presented with a clear mathematical formulation that supports deeper understanding and reproducibility.
• Revised simplex focus: The book emphasizes the revised simplex method and its components, helping readers master a central industrial technique.
• MATLAB code included: Full MATLAB implementations accompany the algorithms so users can run, modify, and test methods on benchmark problems.
• Computational studies: Every algorithm is followed by experiments on benchmark problems that analyze computational behavior in practice.
• Large-scale capability: Implementations are suitable for solving large benchmark linear programs rather than toy examples.

Who It's For

This title is aimed at mathematical programmers, applied researchers, and advanced students who want both the theory and working code for linear programming algorithms. It is especially useful for anyone who intends to implement or extend the revised simplex method or compare variants on realistic benchmark problems.

Those seeking an undergraduate introduction, a short tutorial, or a nontechnical overview should look elsewhere; the book assumes comfort with mathematical notation and computational experimentation.

Pros & Cons

Pros

• Comprehensive theoretical background that supports reliable implementation.
• Practical MATLAB code that can be run on large benchmark problems.
• Detailed computational studies that reveal algorithmic behavior in real cases.

Cons

• Not designed as a gentle introduction; readers need a solid mathematical background.

Specifications

Our Verdict

Linear Programming Using MATLAB is a strong, practical resource for those who need implementable algorithms and rigorous analysis. Its combination of theory, MATLAB code, and computational study makes it good value for researchers and advanced practitioners who will use the implementations on realistic test problems.

Frequently Asked Questions

Does the book include runnable code?
Yes, the book provides comprehensive MATLAB implementations for the algorithms discussed.

Is it suitable for beginners?
Not really; it expects familiarity with mathematical notation and some programming experience.

What algorithms are emphasized?
The revised simplex method and its components are the primary focus, with related linear programming methods also presented.